Data pre-processed and analyzied from chat logs and web logs by Marcus Collins.
Analysis based on R-Scripts from Jacob LaRiviere.
R-Markdown and plots from Mike Wise.
library(tidyverse,quietly=T,warn.conflicts=F)
library(lubridate,quietly=T,warn.conflicts=F)
library(scales,quietly=T,warn.conflicts=F)
library(zoo,quietly=T,warn.conflicts=F)
library(lmtest,quietly=T,warn.conflicts=F)
library(sandwich,quietly=T,warn.conflicts=F)
library(gridExtra,quietly=T,warn.conflicts = F)
library(knitr,quietly=T,warn.conflicts = F)
Set random seeds, record start time and version.
set.seed(1234)
version <-0.1
versionstring <- sprintf("Version %.1f",version)
starttime <- Sys.time()
startfmttime <- sprintf(format(starttime, "%d %b %Y - %H:%M:%S"))
print(sprintf("%s created on %s",versionstring,startfmttime))
## [1] "Version 0.1 created on 29 Apr 2017 - 16:49:39"
tztz <- "UTC" # Apparently all of our time zones are UTC...
s2date <- function(strdate){
return(as.POSIXct(strdate,tz=tztz))
}
firstday <- s2date("2015-01-01") # we will count days from the first day in 2015
smcdates <- c("2016-08-17/red/0-30%","2016-09-1/red/30-50%","2016-09-07/red/50-100%")
xbxdates <- c("2016-10-11/purple/0-10%","2016-10-18/purple/10-30%","2016-11-01/purple/30-50%","2016-12-15/purple/50-90%",
"2016-11-17/blue/content change")
totdates <- c(smcdates,xbxdates)
smcback <- "lightsteelblue1"
xbxback <- "darkseagreen2"
xabback <- "darkseagreen3"
totback <- "wheat"
fpath <- "TorontoData"
sdate <- s2date("2016-06-01")
mdate <- s2date("2017-01-01")
edate <- s2date("2017-03-07")
verbose <- 2
justdoone <- T # for testing
crackdate <- function(datestr){
sar <- unlist(strsplit(datestr,"/"))
sdate <- sar[[1]]
date <- s2date(sdate)
val <- 0
sval <- sar[[3]]
levpart <- sar[[3]]
pctpresent <- F
if (grepl("%",levpart)){
levpart <- gsub("%","",levpart)
val <- as.numeric(unlist(strsplit(levpart,"-"))[[2]])
sval <- gsub("-","_",levpart)
pctpresent <- T
}
return(list(date=date,sdate=sdate,val=val,sval=sval,pctpresent=pctpresent))
}
addStepDateToVek <- function(dates,idx,dtvek,vvek){
cd1 <- crackdate(dates[[idx]])
if (!cd1$pctpresent){
# if there is no % don't do anything
return(vvek)
}
dt1 <- cd1$date
if (idx<length(dates)){
cd2 <- crackdate(dates[[idx+1]])
dt2 <- cd2$date
} else {
dt2 <- max(dtvek)
}
#print("addstepdate")
#print(dt1)
#print(dt2)
val <- cd1$val
tochg <- dt1<=dtvek & dtvek<= dt2
vvek[ tochg ] <- val
#print(sprintf("changed %d values to %d",sum(tochg),val))
return(vvek)
}
getStepDates <- function(dates,dtvek){
vvek <- rep(0,length(dtvek))
for (i in 1:length(dates)){
vvek <- addStepDateToVek(dates,i,dtvek,vvek)
}
return(vvek)
}
getSmcStepDates <- function(dtvek){
return(getStepDates(smcdates,dtvek))
}
getXabStepDates <- function(dtvek){
return(getStepDates(xbxdates,dtvek))
}
addVlinesAndText <- function(vlines,gp){
if (is.null(vlines)) return(gp) # do nothing in this case
# split the lines and convert to data.frame
sar <- strsplit(vlines,"/")
# the following reforms the date strings into a data.frame for geom_vline
ldf <- data.frame(t(matrix(unlist(sar),length(sar[[1]]),length(sar)))) #tricky
names(ldf) <- c("dt","clr","lab")
ldf$dt <- s2date(ldf$dt)
ldf$ndt <- as.numeric(ldf$dt)
# add a newline to the front so as to display the text
# this keeps the text from writing on top of the vline
ldf$lab <- paste0("\n",ldf$lab)
# now actually add the verticle lines and the text
gp <- gp + geom_vline(xintercept=ldf$ndt,color=ldf$clr) +
annotate(geom="text",x=ldf$dt,y=0,label=ldf$lab,color=ldf$clr,hjust=0,angle=90,na.rm=T)
return(gp)
}
addBackground <- function(backg,gp){
if (is.null(backg)) return(gp) # do nothing in this case
gp <- gp + theme(panel.background = element_rect(fill = backg))
return(gp)
}
overdate <- function(ovdate,defdate){
# date override
rv <- defdate
if (!is.null(ovdate)) {
rv <- ovdate
}
return(rv)
}
dailyplot <- function(ddf,x,y,mtit="",xlab="date",ylab=NULL,vlines=NULL,backg=NULL,series=NULL,
ovsdate=NULL,ovedate=NULL,rotxaxtxt=0){
# Single series plot with monthly breaks on the x-axis
# override dates if needed
dpsdate <- overdate(ovsdate,sdate)
dpedate <- overdate(ovedate,edate)
brkctrl <- "1 month"
dltdays <- difftime(dpedate,dpsdate,"days")
if (dltdays<30) brkctrl <- "1 day"
gp <- ggplot(ddf,aes_string(x=x,y=y)) +
geom_line(aes_string(color=series),na.rm=T) +
xlab(xlab) + ylab(ylab) + ggtitle(mtit) +
scale_x_datetime("Date",breaks = date_breaks(brkctrl),limits=c(dpsdate,dpedate))
gp <- addVlinesAndText(vlines,gp)
gp <- addBackground(backg,gp)
if (rotxaxtxt!=0){
gp <- gp + theme(axis.text.x = element_text(angle = rotxaxtxt, hjust = 0))
}
return(gp)
}
residplot <- function(ddf,x,y,mtit="",xlab="date",ylab=NULL,vlines=NULL,backg=NULL,series=NULL,ovsdate=NULL,ovedate=NULL){
# Single series plot with monthly breaks on the x-axis
# override dates if needed
dpsdate <- overdate(ovsdate,sdate)
dpedate <- overdate(ovedate,edate)
brkctrl <- "1 month"
dltdays <- difftime(dpedate,dpsdate,"days")
if (dltdays<30) brkctrl <- "1 day"
gp <- ggplot(ddf,aes_string(x=x,y=y)) +
geom_point(aes_string(color=series),na.rm=T) +
xlab(xlab) + ylab(ylab) + ggtitle(mtit) +
scale_x_datetime("Date",breaks = date_breaks(brkctrl),limits=c(dpsdate,dpedate)) +
theme(axis.text.x = element_text(angle = 30, hjust = 1))
gp <- addVlinesAndText(vlines,gp)
gp <- addBackground(backg,gp)
hp <- ggplot(ddf) + geom_histogram(aes_string(x=y),bins=30)
hp <- addBackground(backg,hp)
ghp <- grid.arrange(gp, hp, ncol=2,widths = c(2,1))
return(ghp)
}
stload <- Sys.time()
tfname <- sprintf("%s/%s",fpath,"colsolidatedTorontoData02.csv")
condf <- read.csv(tfname)
minsessfilt <- 5000
nbef <- nrow(condf)
condf <- condf %>% filter(minsessfilt<actsess)
naft <- nrow(condf)
print(sprintf("Filtered %d of %d hours because sessions less than %d",(nbef-naft),naft,minsessfilt))
## [1] "Filtered 9 of 5814 hours because sessions less than 5000"
condf <- condf %>% mutate( dt = as.POSIXct(dt,tz=tztz) ) %>%
mutate( log_winchib = log(winchib) ) %>%
mutate( log_wincall = log(wincall) ) %>%
mutate( log_xbxchib = log(xbxchib) ) %>%
mutate( log_xbxcall = log(xbxcall) ) %>%
mutate( rate_winchib = winchib/actsess ) %>%
mutate( rate_wincall = wincall/actsess ) %>%
mutate( rate_xbxchib = xbxchib/actsess ) %>%
mutate( rate_xtkchib = xtkchib/actsess ) %>%
mutate( rate_xabchib = xabchib/actsess ) %>%
mutate( rate_xbxcall = xbxcall/actsess ) %>%
mutate( rate_xtkcall = xtkcall/actsess ) %>%
mutate( rate_xabcall = xabcall/actsess ) %>%
mutate( xbxchibdiff = xabchib-xtkchib ) %>%
mutate( xbxcalldiff = xabcall-xtkcall ) %>%
mutate( rate_xbxchibdiff = rate_xabchib-rate_xtkchib ) %>%
mutate( rate_xbxcalldiff = rate_xabcall-rate_xtkcall )
# condf <- condf %>% mutate( dt = as.POSIXct(dt,tz=tztz) ) %>%
# mutate( log_winchib = log(winchib) ) %>%
# mutate( log_wincall = log(wincall) ) %>%
# mutate( log_xbxchib = log(xbxchib) ) %>%
# mutate( log_xbxcall = log(xbxcall) ) %>%
# mutate( rate_winchib = winchib/actsess ) %>%
# mutate( rate_wincall = wincall/actsess ) %>%
# mutate( rate_xbxchib = xbxchib/actsess ) %>%
# mutate( rate_xbxcall = xbxcall/actsess )
dcondf <- condf %>% group_by(dnum) %>% summarise(dt=min(dt),
totchib=sum(totchib),winchib=sum(winchib),xbxchib=sum(xbxchib),
totcall=sum(totcall),wincall=sum(wincall),xbxcall=sum(xbxcall),
actsess=sum(actsess),actuser=sum(actuser)
)
elap <- as.numeric((Sys.time()-stload)[1],units="secs")
print(sprintf("Loading consolidated data took %.1f secs",elap))
## [1] "Loading consolidated data took 0.2 secs"
if (verbose>=2){
pltdf <- dcondf %>% gather(series,chib,-dt) %>% filter(series %in% c("totchib","winchib","xbxchib"))
dailyplot(pltdf,"dt","chib",series="series",mtit="Chats In Block",ylab="Sum",vlines=totdates,backg=totback)
}
# calls
if (verbose>=2){
pltdf <- dcondf %>% gather(series,call,-dt) %>% filter(series %in% c("totcall","wincall","xbxcall"))
dailyplot(pltdf,"dt","call",series="series",mtit="Calls",ylab="Sum",vlines=totdates,backg=totback)
}
# sessions
if (verbose>=2){
pltdf <- dcondf %>% gather(series,active,-dt) %>% filter(series %in% c("actsess","actuser"))
dailyplot(pltdf,"dt","active",series="series",mtit="Sessions",ylab="Sum",vlines=totdates,backg=totback)
}
results1 <- list()
results2 <- list()
initResults <- function(){
results1 <<- list()
results2 <<- list()
}
addToResults1 <- function(newresults){
results1[[length(results1)+1]] <<- newresults
}
addToResults2 <- function(newresults){
results2[[length(results2)+1]] <<- newresults
}
listtodf <- function(lst){
nr <- length(lst) # rows
if (nr==0) return(NULL)
nvek <- names(lst[[1]])
nc <- length(nvek) # columns
df <- data.frame(idx=1:nr) # preallocate length
for (i in 1:nc){
iname <- nvek[i]
df[[iname]] <- sapply(lst,`[[`,iname)
}
return(df)
}
getResults1 <- function(){
return(listtodf(results1))
}
getResults2 <- function(){
return(listtodf(results2))
}
getregdf <- function(df,vname,discdate,befdays,aftdays,dates){
# filter on time
sregdate <- discdate - days(befdays)
eregdate <- discdate + days(aftdays)
df <- df %>% filter( sregdate <= dt & dt <= eregdate)
df <- df %>% mutate( hour=as.factor(hour(dt)) ) %>%
mutate( dow=as.factor(wday(dt))) %>%
mutate( idx=1:nrow(df) )
# add level variables
cutidx <- which(df$dt==discdate)
df <- df %>% mutate( lin1=if_else(idx<cutidx,idx-cutidx,0L)) %>%
mutate( lin2=if_else(idx<cutidx,0L,idx-cutidx)) %>%
mutate( lin0=1 ) %>%
mutate( postchange=if_else(idx<cutidx,0L,1L) )
df <- df[complete.cases(df),]
return(df)
}
formlist = list(
formel1="%s ~ hour + dow + lin1 + lin2 + postchange",
formel2a="%s ~ hour * dow - 1",
formel2b="%s ~ lin1 + lin2 + postchange",
formel2c="%s ~ D1 + D2 + DD",
formeldid="%s ~ D1 + D2 + DD + HOD + DOW"
# formel2b="%s ~ lin0 + postchange"
)
doregression <- function(df,vname,formel,chgdate,befdays,aftdays){
df <- getregdf(df,vname,chgdate,befdays,aftdays,dates)
formstr <- sprintf(formlist[[formel]],vname)
form <- as.formula(formstr)
fit <- glm(form,data=df)
summary_fit <- summary(fit)
coeftest_fit <- coeftest(fit, vcov = vcovHC(fit, "HC1"))
if (verbose>0){
print(summary_fit)
print(coeftest_fit)
}
df$resid <- resid(fit)
# df$predicted <- df[[vname]]-df$resid
df$predicted <- predict(fit,df)
# for debugging
ffit <<- fit
sfit <<- summary_fit
cfit <<- coeftest_fit
return(list(df=df,formstr=formstr,fit=fit,sfit=summary_fit,cfit=coeftest_fit))
}
regress1 <- function(df,vname,area,backg,dates,chgdate,mtit1,befdays=7,aftdays=7,model="model1"){
crk <- crackdate(chgdate)
idx <- length(results1)+1
htit <- sprintf("%d - Regression for %s %s on %s",idx,vname,model,chgdate)
cat(sprintf("htmlesc<<h2,%s>>\n",htit))
rv <- doregression(df,vname,"formel1",crk$date,befdays,aftdays)
if (verbose>0){
df1 <- rv$df %>% gather_("series",vname,c(vname,"predicted"))
mtit <- sprintf("%d - %s - %s",idx,mtit1,rv$formstr)
plt <- dailyplot(df1,"dt",vname,series="series",mtit,ylab="Sum",
vlines=dates,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt))
print(plt)
mtit <- sprintf("%d - Residuals - %s - %s",idx,mtit1,rv$formstr)
plt <- residplot(df1,"dt","resid",mtit,ylab="Sum",
vlines=dates,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt))
}
newresults <- list(var=vname,
title=mtit1,
chgDate=crk$sdate,
chgVal=crk$sval,
model=model,
formula=rv$formstr,
chgCoef.fit=rv$fit$coefficients["postchange"],
chgCoef.smry=rv$sfit$coefficients["postchange",1],
chgStd.smry=rv$sfit$coefficients["postchange",2],
chgTval.smry=rv$sfit$coefficients["postchange",3],
chgPval.smry=rv$sfit$coefficients["postchange",4],
chgZval.cfit=rv2$cfit["postchange","z value"],
chgPval.cfit=rv2$cfit["postchange","Pr(>|z|)"]
)
addToResults1(newresults)
}
regress2 <- function(df,vname,area,backg,dates,chgdate,mtit1,befdays=7,aftdays=7,model="model2"){
crk <- crackdate(chgdate)
idx <- length(results1)+1
htit <- sprintf("%d - Regression for %s %s on %s",idx,vname,model,chgdate)
cat(sprintf("htmlesc<<h2,%s>>\n",htit))
# step 1
rv1 <- doregression(df,vname,"formel2a",crk$date,befdays,aftdays)
if (verbose>0){
df1 <- rv1$df %>% gather_("series",vname,c(vname,"predicted"))
mtit <- sprintf("%d - %s - %s",idx,mtit1,rv1$formstr)
plt <- dailyplot(df1,"dt",vname,series="series",mtit,ylab="Sum",
vlines=dates,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt))
print(plt)
mtit <- sprintf("%d - Step 1 Residuals - %s - %s",idx,mtit1,rv1$formstr)
plt <- residplot(df1,"dt","resid",mtit,ylab="Sum",
vlines=dates,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt))
}
newresults <- list(var=vname,
title=mtit1,
chgDate=crk$sdate,
chgVal=crk$sval,
model=model,
formula=rv1$formstr,
aic=rv1$fit$aic,
deviance=rv1$fit$dev
)
addToResults1(newresults)
# step 2
df2 <- rv1$df
df2$step1residuals <- rv1$fit$residuals
vname2 <- "step1residuals"
rv2 <- doregression(df2,vname2,"formel2b",crk$date,7,7)
if (verbose>0){
df1 <- rv2$df %>% gather_("series",vname2,c(vname2,"predicted"))
mtit <- sprintf("%d - %s - %s",idx,mtit1,rv2$formstr)
plt <- dailyplot(df1,"dt",vname2,series="series",mtit,ylab="Sum",
vlines=dates,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt))
print(plt)
mtit <- sprintf("%d - Step 2 Residuals - %s - %s",idx,mtit1,rv2$formstr)
plt <- residplot(df1,"dt","resid",mtit,ylab="Sum",
vlines=dates,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt))
}
newresults <- list(var=vname,
title=mtit1,
chgDate=crk$sdate,
chgVal=crk$sval,
model=model,
formula=rv2$formstr,
chgCoef.fit=rv2$fit$coefficients["postchange"],
chgCoef.smry=rv2$sfit$coefficients["postchange",1],
chgStd.smry=rv2$sfit$coefficients["postchange",2],
chgTval.smry=rv2$sfit$coefficients["postchange",3],
chgPval.smry=rv2$sfit$coefficients["postchange",4],
chgZval.cfit=rv2$cfit["postchange","z value"],
chgPval.cfit=rv2$cfit["postchange","Pr(>|z|)"]
)
addToResults2(newresults)
}
doregressiondid <- function(df,vname,formel,verbosetxt=1){
formstr <- sprintf(formlist[[formel]],vname)
form <- as.formula(formstr)
fit <- glm(form,data=df)
summary_fit <- summary(fit)
coeftest_fit <- coeftest(fit, vcov = vcovHC(fit, "HC1"))
if (verbosetxt>1){
print(summary_fit)
}
if (verbosetxt>0){
print(coeftest_fit)
}
df$resid <- resid(fit)
# df$predicted <- df[[vname]]-df$resid
df$predicted <- predict(fit,df)
# for debugging
ffit <<- fit
sfit <<- summary_fit
cfit <<- coeftest_fit
return(list(df=df,formstr=formstr,fit=fit,sfit=summary_fit,cfit=coeftest_fit))
}
#rdf2 <- getregdfdid(df2,vname,vname2,vname2,dates)
getregdfdid <- function(odf,vname,vname1,vname2,sdate,befdays=7,aftdays=7){
#print(head(odf))
print(vname1)
print(vname2)
odf$DOW <- wday(odf$dt)
odf$HOD <- hour(odf$dt)
df <- odf[c("dt","HOD","DOW",vname1,vname2)]
df <- df %>% gather(series,vname,c(-dt,-HOD,-DOW))
df[vname] <- df$vname
df$vname <- NULL
print(sdate)
crk <- crackdate(sdate)
print(min(df$dt))
print(max(df$dt))
print(befdays)
print(aftdays)
print(crk$date)
print(class(crk$date))
sregdate <- crk$date - days(befdays)
eregdate <- crk$date + days(aftdays)
print(sprintf("getregdf2 - sdate:%s sregdate:%s eregdate:%s",
sdate,sregdate,eregdate))
df <- df %>% filter( sregdate<=dt & dt<= eregdate )
scutidx <- which(df$dt==crk$date)
print(crk$sdate)
print(scutidx)
print(sprintf("scutidx:%d",scutidx))
df <- df %>% mutate( D1 = ifelse(series==vname2,1L,0L) ) %>%
mutate( idx = 1:nrow(df) ) %>%
mutate( D2 = ifelse(dt>crk$date,1L,0L) ) %>%
mutate( DD = D1*D2 )
# git rid of columns no longer needed
#df$series <- NULL
#df$idx <- NULL
print(summary(df))
return(df)
}
idx <- 0
regressdid <- function(df,vname,vname_ctr,vname_trt,dates,chgdate,
area,backg,mtit1,befdays=7,aftdays=7,model="model-did"){
idx <<- idx+1
rdf <- getregdfdid(df,vname,vname_ctr,vname_trt,chgdate,befdays,aftdays)
rv <- doregressiondid(rdf,vname,"formeldid")
rrv <<- rv
if (verbose>0){
df1 <- rv$df %>% gather_("series",vname,c(vname,"predicted"))
mtit <- sprintf("%d - %s - %s",idx,mtit1,rv$formstr)
plt <- dailyplot(df1,"dt",vname,series="series",mtit,ylab="Sum",
vlines=chgdate,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt),rotxaxtxt=-30)
suppressWarnings(print(plt))
mtit <- sprintf("%d - DID Residuals - %s - %s",idx,mtit1,rv$formstr)
plt <- residplot(df1,"dt","resid",mtit,ylab="Sum",
vlines=chgdate,backg=backg,ovsdate=min(df1$dt),ovedate=max(df1$dt))
}
crk <- crackdate(chgdate)
newresults <- list(var=vname,
title=mtit1,
chgDate=crk$sdate,
chgVal=crk$sval,
model=model,
formula=rv$formstr,
chgCoef.fit=rv$fit$coefficients["DD"],
chgCoef.smry=rv$sfit$coefficients["DD",1],
chgStd.smry=rv$sfit$coefficients["DD",2],
chgTval.smry=rv$sfit$coefficients["DD",3],
chgPval.smry=rv$sfit$coefficients["DD",4],
chgZval.cfit=rv$cfit["DD","z value"],
chgPval.cfit=rv$cfit["DD","Pr(>|z|)"]
)
addToResults1(newresults)
}
regressoverdatesdid <- function(model,df,vname,vname_ctr,vname_trt,area,title,befdays=7,aftdays=7){
dates <- xbxdates
backg <- xbxback
atit <- sprintf("%s - %s",area,title)
for (chgdate in dates){
switch(model,
"model-did"=regressdid(condf,vname,vname_ctr,vname_trt,dates,chgdate,
area,backg,atit,befdays=befdays,aftdays=aftdays)
)
}
}
initResults()
justdoone <- F # for testing
verbose <- 2
# we just want DID with Xbox
m <- "model-did"
if (justdoone){
regressoverdatesdid(m,condf,"chats","xtkchib","xabchib","Xbox","Hourly Chats")
} else {
regressoverdatesdid(m,condf,"chats","xtkchib","xabchib","Xbox","Hourly Chats")
regressoverdatesdid(m,condf,"log_chatss","xtkchib","xabchib","Xbox","log(Hourly Chats)")
regressoverdatesdid(m,condf,"rate_chats","xtkchib","xabchib","Xbox","Hourly Chat Rate per Session")
regressoverdatesdid(m,condf,"calls","xtkchib","xabchib","Xbox","Hourly Chats")
regressoverdatesdid(m,condf,"log_calls","xtkchib","xabchib","Xbox","log(Hourly Chats)")
regressoverdatesdid(m,condf,"rate_calls","xtkchib","xabchib","Xbox","Hourly Chat Rate per Session")
}
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-11/purple/0-10%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-11 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-11/purple/0-10% sregdate:2016-10-04 eregdate:2016-10-18"
## [1] "2016-10-11"
## [1] 159 486
## [1] "scutidx:159" "scutidx:486"
## dt HOD DOW
## Min. :2016-10-04 00:00:00 Min. : 0.00 Min. :1.00
## 1st Qu.:2016-10-07 13:15:00 1st Qu.: 5.00 1st Qu.:2.00
## Median :2016-10-11 05:00:00 Median :11.00 Median :4.00
## Mean :2016-10-11 02:04:35 Mean :11.40 Mean :3.96
## 3rd Qu.:2016-10-14 14:45:00 3rd Qu.:17.75 3rd Qu.:6.00
## Max. :2016-10-18 00:00:00 Max. :23.00 Max. :7.00
## series chats D1 idx
## Length:654 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 53.0 1st Qu.:0.0 1st Qu.:164.2
## Mode :character Median : 96.0 Median :0.5 Median :327.5
## Mean :113.9 Mean :0.5 Mean :327.5
## 3rd Qu.:161.5 3rd Qu.:1.0 3rd Qu.:490.8
## Max. :360.0 Max. :1.0 Max. :654.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000
## Mean :0.5138 Mean :0.2569
## 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 139.60676 10.11861 13.7970 < 2.2e-16 ***
## D1 -86.52830 7.08887 -12.2062 < 2.2e-16 ***
## D2 -11.41221 8.95529 -1.2744 0.2025
## DD -1.09075 9.76352 -0.1117 0.9110
## HOD 1.67823 0.38572 4.3509 1.356e-05 ***
## DOW 1.16068 1.22876 0.9446 0.3449
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-18/purple/10-30%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-18 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-18/purple/10-30% sregdate:2016-10-11 eregdate:2016-10-25"
## [1] "2016-10-18"
## [1] 169 504
## [1] "scutidx:169" "scutidx:504"
## dt HOD DOW
## Min. :2016-10-11 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-14 11:15:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-10-17 23:00:00 Median :11.00 Median :4.000
## Mean :2016-10-17 23:26:30 Mean :11.41 Mean :3.985
## 3rd Qu.:2016-10-21 10:45:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-10-25 00:00:00 Max. :23.00 Max. :7.000
## series chats D1 idx
## Length:670 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:168.2
## Mode :character Median : 89.0 Median :0.5 Median :335.5
## Mean :107.5 Mean :0.5 Mean :335.5
## 3rd Qu.:147.8 3rd Qu.:1.0 3rd Qu.:502.8
## Max. :347.0 Max. :1.0 Max. :670.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4955 Mean :0.2478
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 137.70514 9.93706 13.8577 < 2.2e-16 ***
## D1 -87.86982 6.70177 -13.1114 < 2.2e-16 ***
## D2 -8.98603 8.58288 -1.0470 0.295113
## DD 13.05055 9.38516 1.3906 0.164362
## HOD 1.43734 0.37727 3.8099 0.000139 ***
## DOW -0.37349 1.23853 -0.3016 0.762990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-01/purple/30-50%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-01 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-01/purple/30-50% sregdate:2016-10-25 eregdate:2016-11-08"
## [1] "2016-11-01"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-10-25 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-28 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-01 00:00:00 Median :11.00 Median :4.000
## Mean :2016-11-01 00:00:00 Mean :11.47 Mean :3.997
## 3rd Qu.:2016-11-04 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-08 00:00:00 Max. :23.00 Max. :7.000
## series chats D1 idx
## Length:674 Min. : 1.00 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 49.25 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 87.00 Median :0.5 Median :337.5
## Mean :106.29 Mean :0.5 Mean :337.5
## 3rd Qu.:142.75 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :377.00 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 106.22977 9.59590 11.0703 < 2.2e-16 ***
## D1 -69.14793 5.78555 -11.9518 < 2.2e-16 ***
## D2 22.05545 8.71218 2.5316 0.01136 *
## DD -12.60207 9.47202 -1.3305 0.18337
## HOD 1.86075 0.37783 4.9248 8.446e-07 ***
## DOW 1.36179 1.26709 1.0747 0.28249
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-12-15/purple/50-90%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-12-15 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-12-15/purple/50-90% sregdate:2016-12-08 eregdate:2016-12-22"
## [1] "2016-12-15"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-12-08 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-12-11 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-12-15 00:00:00 Median :11.00 Median :4.000
## Mean :2016-12-15 00:00:00 Mean :11.47 Mean :4.003
## 3rd Qu.:2016-12-18 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-12-22 00:00:00 Max. :23.00 Max. :7.000
## series chats D1 idx
## Length:674 Min. : 8.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 50.0 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 86.0 Median :0.5 Median :337.5
## Mean :108.7 Mean :0.5 Mean :337.5
## 3rd Qu.:156.0 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :378.0 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 135.95178 9.44451 14.3948 < 2.2e-16 ***
## D1 -77.86391 6.20220 -12.5542 < 2.2e-16 ***
## D2 23.25292 8.99630 2.5847 0.009746 **
## DD -14.84443 9.66638 -1.5357 0.124618
## HOD 0.92127 0.36896 2.4970 0.012527 *
## DOW -1.69238 1.28696 -1.3150 0.188502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-17/blue/content change"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-17 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-17/blue/content change sregdate:2016-11-10 eregdate:2016-11-24"
## [1] "2016-11-17"
## [1] 146 460
## [1] "scutidx:146" "scutidx:460"
## dt HOD DOW
## Min. :2016-11-10 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-11-14 05:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-17 11:30:00 Median :11.50 Median :4.000
## Mean :2016-11-17 06:44:19 Mean :11.48 Mean :4.089
## 3rd Qu.:2016-11-20 18:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-24 00:00:00 Max. :23.00 Max. :7.000
## series chats D1 idx
## Length:628 Min. : 2.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:157.8
## Mode :character Median : 95.0 Median :0.5 Median :314.5
## Mean :113.3 Mean :0.5 Mean :314.5
## 3rd Qu.:159.2 3rd Qu.:1.0 3rd Qu.:471.2
## Max. :357.0 Max. :1.0 Max. :628.0
## D2 DD
## Min. :0.000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000
## Median :1.000 Median :0.0000
## Mean :0.535 Mean :0.2675
## 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 154.37268 11.65985 13.2397 < 2e-16 ***
## D1 -87.38356 7.54738 -11.5780 < 2e-16 ***
## D2 4.54325 9.52807 0.4768 0.63348
## DD 5.63356 10.31587 0.5461 0.58499
## HOD 0.99803 0.40538 2.4620 0.01382 *
## DOW -3.13255 1.47222 -2.1278 0.03336 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-11/purple/0-10%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-11 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-11/purple/0-10% sregdate:2016-10-04 eregdate:2016-10-18"
## [1] "2016-10-11"
## [1] 159 486
## [1] "scutidx:159" "scutidx:486"
## dt HOD DOW
## Min. :2016-10-04 00:00:00 Min. : 0.00 Min. :1.00
## 1st Qu.:2016-10-07 13:15:00 1st Qu.: 5.00 1st Qu.:2.00
## Median :2016-10-11 05:00:00 Median :11.00 Median :4.00
## Mean :2016-10-11 02:04:35 Mean :11.40 Mean :3.96
## 3rd Qu.:2016-10-14 14:45:00 3rd Qu.:17.75 3rd Qu.:6.00
## Max. :2016-10-18 00:00:00 Max. :23.00 Max. :7.00
## series log_chatss D1 idx
## Length:654 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 53.0 1st Qu.:0.0 1st Qu.:164.2
## Mode :character Median : 96.0 Median :0.5 Median :327.5
## Mean :113.9 Mean :0.5 Mean :327.5
## 3rd Qu.:161.5 3rd Qu.:1.0 3rd Qu.:490.8
## Max. :360.0 Max. :1.0 Max. :654.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000
## Mean :0.5138 Mean :0.2569
## 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 139.60676 10.11861 13.7970 < 2.2e-16 ***
## D1 -86.52830 7.08887 -12.2062 < 2.2e-16 ***
## D2 -11.41221 8.95529 -1.2744 0.2025
## DD -1.09075 9.76352 -0.1117 0.9110
## HOD 1.67823 0.38572 4.3509 1.356e-05 ***
## DOW 1.16068 1.22876 0.9446 0.3449
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-18/purple/10-30%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-18 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-18/purple/10-30% sregdate:2016-10-11 eregdate:2016-10-25"
## [1] "2016-10-18"
## [1] 169 504
## [1] "scutidx:169" "scutidx:504"
## dt HOD DOW
## Min. :2016-10-11 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-14 11:15:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-10-17 23:00:00 Median :11.00 Median :4.000
## Mean :2016-10-17 23:26:30 Mean :11.41 Mean :3.985
## 3rd Qu.:2016-10-21 10:45:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-10-25 00:00:00 Max. :23.00 Max. :7.000
## series log_chatss D1 idx
## Length:670 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:168.2
## Mode :character Median : 89.0 Median :0.5 Median :335.5
## Mean :107.5 Mean :0.5 Mean :335.5
## 3rd Qu.:147.8 3rd Qu.:1.0 3rd Qu.:502.8
## Max. :347.0 Max. :1.0 Max. :670.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4955 Mean :0.2478
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 137.70514 9.93706 13.8577 < 2.2e-16 ***
## D1 -87.86982 6.70177 -13.1114 < 2.2e-16 ***
## D2 -8.98603 8.58288 -1.0470 0.295113
## DD 13.05055 9.38516 1.3906 0.164362
## HOD 1.43734 0.37727 3.8099 0.000139 ***
## DOW -0.37349 1.23853 -0.3016 0.762990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-01/purple/30-50%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-01 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-01/purple/30-50% sregdate:2016-10-25 eregdate:2016-11-08"
## [1] "2016-11-01"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-10-25 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-28 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-01 00:00:00 Median :11.00 Median :4.000
## Mean :2016-11-01 00:00:00 Mean :11.47 Mean :3.997
## 3rd Qu.:2016-11-04 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-08 00:00:00 Max. :23.00 Max. :7.000
## series log_chatss D1 idx
## Length:674 Min. : 1.00 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 49.25 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 87.00 Median :0.5 Median :337.5
## Mean :106.29 Mean :0.5 Mean :337.5
## 3rd Qu.:142.75 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :377.00 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 106.22977 9.59590 11.0703 < 2.2e-16 ***
## D1 -69.14793 5.78555 -11.9518 < 2.2e-16 ***
## D2 22.05545 8.71218 2.5316 0.01136 *
## DD -12.60207 9.47202 -1.3305 0.18337
## HOD 1.86075 0.37783 4.9248 8.446e-07 ***
## DOW 1.36179 1.26709 1.0747 0.28249
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-12-15/purple/50-90%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-12-15 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-12-15/purple/50-90% sregdate:2016-12-08 eregdate:2016-12-22"
## [1] "2016-12-15"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-12-08 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-12-11 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-12-15 00:00:00 Median :11.00 Median :4.000
## Mean :2016-12-15 00:00:00 Mean :11.47 Mean :4.003
## 3rd Qu.:2016-12-18 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-12-22 00:00:00 Max. :23.00 Max. :7.000
## series log_chatss D1 idx
## Length:674 Min. : 8.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 50.0 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 86.0 Median :0.5 Median :337.5
## Mean :108.7 Mean :0.5 Mean :337.5
## 3rd Qu.:156.0 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :378.0 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 135.95178 9.44451 14.3948 < 2.2e-16 ***
## D1 -77.86391 6.20220 -12.5542 < 2.2e-16 ***
## D2 23.25292 8.99630 2.5847 0.009746 **
## DD -14.84443 9.66638 -1.5357 0.124618
## HOD 0.92127 0.36896 2.4970 0.012527 *
## DOW -1.69238 1.28696 -1.3150 0.188502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-17/blue/content change"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-17 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-17/blue/content change sregdate:2016-11-10 eregdate:2016-11-24"
## [1] "2016-11-17"
## [1] 146 460
## [1] "scutidx:146" "scutidx:460"
## dt HOD DOW
## Min. :2016-11-10 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-11-14 05:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-17 11:30:00 Median :11.50 Median :4.000
## Mean :2016-11-17 06:44:19 Mean :11.48 Mean :4.089
## 3rd Qu.:2016-11-20 18:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-24 00:00:00 Max. :23.00 Max. :7.000
## series log_chatss D1 idx
## Length:628 Min. : 2.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:157.8
## Mode :character Median : 95.0 Median :0.5 Median :314.5
## Mean :113.3 Mean :0.5 Mean :314.5
## 3rd Qu.:159.2 3rd Qu.:1.0 3rd Qu.:471.2
## Max. :357.0 Max. :1.0 Max. :628.0
## D2 DD
## Min. :0.000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000
## Median :1.000 Median :0.0000
## Mean :0.535 Mean :0.2675
## 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 154.37268 11.65985 13.2397 < 2e-16 ***
## D1 -87.38356 7.54738 -11.5780 < 2e-16 ***
## D2 4.54325 9.52807 0.4768 0.63348
## DD 5.63356 10.31587 0.5461 0.58499
## HOD 0.99803 0.40538 2.4620 0.01382 *
## DOW -3.13255 1.47222 -2.1278 0.03336 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-11/purple/0-10%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-11 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-11/purple/0-10% sregdate:2016-10-04 eregdate:2016-10-18"
## [1] "2016-10-11"
## [1] 159 486
## [1] "scutidx:159" "scutidx:486"
## dt HOD DOW
## Min. :2016-10-04 00:00:00 Min. : 0.00 Min. :1.00
## 1st Qu.:2016-10-07 13:15:00 1st Qu.: 5.00 1st Qu.:2.00
## Median :2016-10-11 05:00:00 Median :11.00 Median :4.00
## Mean :2016-10-11 02:04:35 Mean :11.40 Mean :3.96
## 3rd Qu.:2016-10-14 14:45:00 3rd Qu.:17.75 3rd Qu.:6.00
## Max. :2016-10-18 00:00:00 Max. :23.00 Max. :7.00
## series rate_chats D1 idx
## Length:654 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 53.0 1st Qu.:0.0 1st Qu.:164.2
## Mode :character Median : 96.0 Median :0.5 Median :327.5
## Mean :113.9 Mean :0.5 Mean :327.5
## 3rd Qu.:161.5 3rd Qu.:1.0 3rd Qu.:490.8
## Max. :360.0 Max. :1.0 Max. :654.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000
## Mean :0.5138 Mean :0.2569
## 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 139.60676 10.11861 13.7970 < 2.2e-16 ***
## D1 -86.52830 7.08887 -12.2062 < 2.2e-16 ***
## D2 -11.41221 8.95529 -1.2744 0.2025
## DD -1.09075 9.76352 -0.1117 0.9110
## HOD 1.67823 0.38572 4.3509 1.356e-05 ***
## DOW 1.16068 1.22876 0.9446 0.3449
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-18/purple/10-30%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-18 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-18/purple/10-30% sregdate:2016-10-11 eregdate:2016-10-25"
## [1] "2016-10-18"
## [1] 169 504
## [1] "scutidx:169" "scutidx:504"
## dt HOD DOW
## Min. :2016-10-11 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-14 11:15:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-10-17 23:00:00 Median :11.00 Median :4.000
## Mean :2016-10-17 23:26:30 Mean :11.41 Mean :3.985
## 3rd Qu.:2016-10-21 10:45:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-10-25 00:00:00 Max. :23.00 Max. :7.000
## series rate_chats D1 idx
## Length:670 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:168.2
## Mode :character Median : 89.0 Median :0.5 Median :335.5
## Mean :107.5 Mean :0.5 Mean :335.5
## 3rd Qu.:147.8 3rd Qu.:1.0 3rd Qu.:502.8
## Max. :347.0 Max. :1.0 Max. :670.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4955 Mean :0.2478
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 137.70514 9.93706 13.8577 < 2.2e-16 ***
## D1 -87.86982 6.70177 -13.1114 < 2.2e-16 ***
## D2 -8.98603 8.58288 -1.0470 0.295113
## DD 13.05055 9.38516 1.3906 0.164362
## HOD 1.43734 0.37727 3.8099 0.000139 ***
## DOW -0.37349 1.23853 -0.3016 0.762990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-01/purple/30-50%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-01 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-01/purple/30-50% sregdate:2016-10-25 eregdate:2016-11-08"
## [1] "2016-11-01"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-10-25 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-28 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-01 00:00:00 Median :11.00 Median :4.000
## Mean :2016-11-01 00:00:00 Mean :11.47 Mean :3.997
## 3rd Qu.:2016-11-04 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-08 00:00:00 Max. :23.00 Max. :7.000
## series rate_chats D1 idx
## Length:674 Min. : 1.00 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 49.25 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 87.00 Median :0.5 Median :337.5
## Mean :106.29 Mean :0.5 Mean :337.5
## 3rd Qu.:142.75 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :377.00 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 106.22977 9.59590 11.0703 < 2.2e-16 ***
## D1 -69.14793 5.78555 -11.9518 < 2.2e-16 ***
## D2 22.05545 8.71218 2.5316 0.01136 *
## DD -12.60207 9.47202 -1.3305 0.18337
## HOD 1.86075 0.37783 4.9248 8.446e-07 ***
## DOW 1.36179 1.26709 1.0747 0.28249
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-12-15/purple/50-90%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-12-15 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-12-15/purple/50-90% sregdate:2016-12-08 eregdate:2016-12-22"
## [1] "2016-12-15"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-12-08 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-12-11 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-12-15 00:00:00 Median :11.00 Median :4.000
## Mean :2016-12-15 00:00:00 Mean :11.47 Mean :4.003
## 3rd Qu.:2016-12-18 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-12-22 00:00:00 Max. :23.00 Max. :7.000
## series rate_chats D1 idx
## Length:674 Min. : 8.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 50.0 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 86.0 Median :0.5 Median :337.5
## Mean :108.7 Mean :0.5 Mean :337.5
## 3rd Qu.:156.0 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :378.0 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 135.95178 9.44451 14.3948 < 2.2e-16 ***
## D1 -77.86391 6.20220 -12.5542 < 2.2e-16 ***
## D2 23.25292 8.99630 2.5847 0.009746 **
## DD -14.84443 9.66638 -1.5357 0.124618
## HOD 0.92127 0.36896 2.4970 0.012527 *
## DOW -1.69238 1.28696 -1.3150 0.188502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-17/blue/content change"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-17 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-17/blue/content change sregdate:2016-11-10 eregdate:2016-11-24"
## [1] "2016-11-17"
## [1] 146 460
## [1] "scutidx:146" "scutidx:460"
## dt HOD DOW
## Min. :2016-11-10 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-11-14 05:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-17 11:30:00 Median :11.50 Median :4.000
## Mean :2016-11-17 06:44:19 Mean :11.48 Mean :4.089
## 3rd Qu.:2016-11-20 18:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-24 00:00:00 Max. :23.00 Max. :7.000
## series rate_chats D1 idx
## Length:628 Min. : 2.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:157.8
## Mode :character Median : 95.0 Median :0.5 Median :314.5
## Mean :113.3 Mean :0.5 Mean :314.5
## 3rd Qu.:159.2 3rd Qu.:1.0 3rd Qu.:471.2
## Max. :357.0 Max. :1.0 Max. :628.0
## D2 DD
## Min. :0.000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000
## Median :1.000 Median :0.0000
## Mean :0.535 Mean :0.2675
## 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 154.37268 11.65985 13.2397 < 2e-16 ***
## D1 -87.38356 7.54738 -11.5780 < 2e-16 ***
## D2 4.54325 9.52807 0.4768 0.63348
## DD 5.63356 10.31587 0.5461 0.58499
## HOD 0.99803 0.40538 2.4620 0.01382 *
## DOW -3.13255 1.47222 -2.1278 0.03336 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-11/purple/0-10%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-11 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-11/purple/0-10% sregdate:2016-10-04 eregdate:2016-10-18"
## [1] "2016-10-11"
## [1] 159 486
## [1] "scutidx:159" "scutidx:486"
## dt HOD DOW
## Min. :2016-10-04 00:00:00 Min. : 0.00 Min. :1.00
## 1st Qu.:2016-10-07 13:15:00 1st Qu.: 5.00 1st Qu.:2.00
## Median :2016-10-11 05:00:00 Median :11.00 Median :4.00
## Mean :2016-10-11 02:04:35 Mean :11.40 Mean :3.96
## 3rd Qu.:2016-10-14 14:45:00 3rd Qu.:17.75 3rd Qu.:6.00
## Max. :2016-10-18 00:00:00 Max. :23.00 Max. :7.00
## series calls D1 idx
## Length:654 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 53.0 1st Qu.:0.0 1st Qu.:164.2
## Mode :character Median : 96.0 Median :0.5 Median :327.5
## Mean :113.9 Mean :0.5 Mean :327.5
## 3rd Qu.:161.5 3rd Qu.:1.0 3rd Qu.:490.8
## Max. :360.0 Max. :1.0 Max. :654.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000
## Mean :0.5138 Mean :0.2569
## 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 139.60676 10.11861 13.7970 < 2.2e-16 ***
## D1 -86.52830 7.08887 -12.2062 < 2.2e-16 ***
## D2 -11.41221 8.95529 -1.2744 0.2025
## DD -1.09075 9.76352 -0.1117 0.9110
## HOD 1.67823 0.38572 4.3509 1.356e-05 ***
## DOW 1.16068 1.22876 0.9446 0.3449
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-18/purple/10-30%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-18 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-18/purple/10-30% sregdate:2016-10-11 eregdate:2016-10-25"
## [1] "2016-10-18"
## [1] 169 504
## [1] "scutidx:169" "scutidx:504"
## dt HOD DOW
## Min. :2016-10-11 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-14 11:15:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-10-17 23:00:00 Median :11.00 Median :4.000
## Mean :2016-10-17 23:26:30 Mean :11.41 Mean :3.985
## 3rd Qu.:2016-10-21 10:45:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-10-25 00:00:00 Max. :23.00 Max. :7.000
## series calls D1 idx
## Length:670 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:168.2
## Mode :character Median : 89.0 Median :0.5 Median :335.5
## Mean :107.5 Mean :0.5 Mean :335.5
## 3rd Qu.:147.8 3rd Qu.:1.0 3rd Qu.:502.8
## Max. :347.0 Max. :1.0 Max. :670.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4955 Mean :0.2478
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 137.70514 9.93706 13.8577 < 2.2e-16 ***
## D1 -87.86982 6.70177 -13.1114 < 2.2e-16 ***
## D2 -8.98603 8.58288 -1.0470 0.295113
## DD 13.05055 9.38516 1.3906 0.164362
## HOD 1.43734 0.37727 3.8099 0.000139 ***
## DOW -0.37349 1.23853 -0.3016 0.762990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-01/purple/30-50%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-01 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-01/purple/30-50% sregdate:2016-10-25 eregdate:2016-11-08"
## [1] "2016-11-01"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-10-25 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-28 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-01 00:00:00 Median :11.00 Median :4.000
## Mean :2016-11-01 00:00:00 Mean :11.47 Mean :3.997
## 3rd Qu.:2016-11-04 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-08 00:00:00 Max. :23.00 Max. :7.000
## series calls D1 idx
## Length:674 Min. : 1.00 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 49.25 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 87.00 Median :0.5 Median :337.5
## Mean :106.29 Mean :0.5 Mean :337.5
## 3rd Qu.:142.75 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :377.00 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 106.22977 9.59590 11.0703 < 2.2e-16 ***
## D1 -69.14793 5.78555 -11.9518 < 2.2e-16 ***
## D2 22.05545 8.71218 2.5316 0.01136 *
## DD -12.60207 9.47202 -1.3305 0.18337
## HOD 1.86075 0.37783 4.9248 8.446e-07 ***
## DOW 1.36179 1.26709 1.0747 0.28249
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-12-15/purple/50-90%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-12-15 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-12-15/purple/50-90% sregdate:2016-12-08 eregdate:2016-12-22"
## [1] "2016-12-15"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-12-08 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-12-11 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-12-15 00:00:00 Median :11.00 Median :4.000
## Mean :2016-12-15 00:00:00 Mean :11.47 Mean :4.003
## 3rd Qu.:2016-12-18 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-12-22 00:00:00 Max. :23.00 Max. :7.000
## series calls D1 idx
## Length:674 Min. : 8.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 50.0 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 86.0 Median :0.5 Median :337.5
## Mean :108.7 Mean :0.5 Mean :337.5
## 3rd Qu.:156.0 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :378.0 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 135.95178 9.44451 14.3948 < 2.2e-16 ***
## D1 -77.86391 6.20220 -12.5542 < 2.2e-16 ***
## D2 23.25292 8.99630 2.5847 0.009746 **
## DD -14.84443 9.66638 -1.5357 0.124618
## HOD 0.92127 0.36896 2.4970 0.012527 *
## DOW -1.69238 1.28696 -1.3150 0.188502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-17/blue/content change"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-17 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-17/blue/content change sregdate:2016-11-10 eregdate:2016-11-24"
## [1] "2016-11-17"
## [1] 146 460
## [1] "scutidx:146" "scutidx:460"
## dt HOD DOW
## Min. :2016-11-10 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-11-14 05:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-17 11:30:00 Median :11.50 Median :4.000
## Mean :2016-11-17 06:44:19 Mean :11.48 Mean :4.089
## 3rd Qu.:2016-11-20 18:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-24 00:00:00 Max. :23.00 Max. :7.000
## series calls D1 idx
## Length:628 Min. : 2.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:157.8
## Mode :character Median : 95.0 Median :0.5 Median :314.5
## Mean :113.3 Mean :0.5 Mean :314.5
## 3rd Qu.:159.2 3rd Qu.:1.0 3rd Qu.:471.2
## Max. :357.0 Max. :1.0 Max. :628.0
## D2 DD
## Min. :0.000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000
## Median :1.000 Median :0.0000
## Mean :0.535 Mean :0.2675
## 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 154.37268 11.65985 13.2397 < 2e-16 ***
## D1 -87.38356 7.54738 -11.5780 < 2e-16 ***
## D2 4.54325 9.52807 0.4768 0.63348
## DD 5.63356 10.31587 0.5461 0.58499
## HOD 0.99803 0.40538 2.4620 0.01382 *
## DOW -3.13255 1.47222 -2.1278 0.03336 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-11/purple/0-10%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-11 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-11/purple/0-10% sregdate:2016-10-04 eregdate:2016-10-18"
## [1] "2016-10-11"
## [1] 159 486
## [1] "scutidx:159" "scutidx:486"
## dt HOD DOW
## Min. :2016-10-04 00:00:00 Min. : 0.00 Min. :1.00
## 1st Qu.:2016-10-07 13:15:00 1st Qu.: 5.00 1st Qu.:2.00
## Median :2016-10-11 05:00:00 Median :11.00 Median :4.00
## Mean :2016-10-11 02:04:35 Mean :11.40 Mean :3.96
## 3rd Qu.:2016-10-14 14:45:00 3rd Qu.:17.75 3rd Qu.:6.00
## Max. :2016-10-18 00:00:00 Max. :23.00 Max. :7.00
## series log_calls D1 idx
## Length:654 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 53.0 1st Qu.:0.0 1st Qu.:164.2
## Mode :character Median : 96.0 Median :0.5 Median :327.5
## Mean :113.9 Mean :0.5 Mean :327.5
## 3rd Qu.:161.5 3rd Qu.:1.0 3rd Qu.:490.8
## Max. :360.0 Max. :1.0 Max. :654.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000
## Mean :0.5138 Mean :0.2569
## 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 139.60676 10.11861 13.7970 < 2.2e-16 ***
## D1 -86.52830 7.08887 -12.2062 < 2.2e-16 ***
## D2 -11.41221 8.95529 -1.2744 0.2025
## DD -1.09075 9.76352 -0.1117 0.9110
## HOD 1.67823 0.38572 4.3509 1.356e-05 ***
## DOW 1.16068 1.22876 0.9446 0.3449
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-18/purple/10-30%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-18 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-18/purple/10-30% sregdate:2016-10-11 eregdate:2016-10-25"
## [1] "2016-10-18"
## [1] 169 504
## [1] "scutidx:169" "scutidx:504"
## dt HOD DOW
## Min. :2016-10-11 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-14 11:15:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-10-17 23:00:00 Median :11.00 Median :4.000
## Mean :2016-10-17 23:26:30 Mean :11.41 Mean :3.985
## 3rd Qu.:2016-10-21 10:45:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-10-25 00:00:00 Max. :23.00 Max. :7.000
## series log_calls D1 idx
## Length:670 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:168.2
## Mode :character Median : 89.0 Median :0.5 Median :335.5
## Mean :107.5 Mean :0.5 Mean :335.5
## 3rd Qu.:147.8 3rd Qu.:1.0 3rd Qu.:502.8
## Max. :347.0 Max. :1.0 Max. :670.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4955 Mean :0.2478
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 137.70514 9.93706 13.8577 < 2.2e-16 ***
## D1 -87.86982 6.70177 -13.1114 < 2.2e-16 ***
## D2 -8.98603 8.58288 -1.0470 0.295113
## DD 13.05055 9.38516 1.3906 0.164362
## HOD 1.43734 0.37727 3.8099 0.000139 ***
## DOW -0.37349 1.23853 -0.3016 0.762990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-01/purple/30-50%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-01 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-01/purple/30-50% sregdate:2016-10-25 eregdate:2016-11-08"
## [1] "2016-11-01"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-10-25 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-28 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-01 00:00:00 Median :11.00 Median :4.000
## Mean :2016-11-01 00:00:00 Mean :11.47 Mean :3.997
## 3rd Qu.:2016-11-04 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-08 00:00:00 Max. :23.00 Max. :7.000
## series log_calls D1 idx
## Length:674 Min. : 1.00 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 49.25 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 87.00 Median :0.5 Median :337.5
## Mean :106.29 Mean :0.5 Mean :337.5
## 3rd Qu.:142.75 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :377.00 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 106.22977 9.59590 11.0703 < 2.2e-16 ***
## D1 -69.14793 5.78555 -11.9518 < 2.2e-16 ***
## D2 22.05545 8.71218 2.5316 0.01136 *
## DD -12.60207 9.47202 -1.3305 0.18337
## HOD 1.86075 0.37783 4.9248 8.446e-07 ***
## DOW 1.36179 1.26709 1.0747 0.28249
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-12-15/purple/50-90%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-12-15 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-12-15/purple/50-90% sregdate:2016-12-08 eregdate:2016-12-22"
## [1] "2016-12-15"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-12-08 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-12-11 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-12-15 00:00:00 Median :11.00 Median :4.000
## Mean :2016-12-15 00:00:00 Mean :11.47 Mean :4.003
## 3rd Qu.:2016-12-18 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-12-22 00:00:00 Max. :23.00 Max. :7.000
## series log_calls D1 idx
## Length:674 Min. : 8.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 50.0 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 86.0 Median :0.5 Median :337.5
## Mean :108.7 Mean :0.5 Mean :337.5
## 3rd Qu.:156.0 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :378.0 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 135.95178 9.44451 14.3948 < 2.2e-16 ***
## D1 -77.86391 6.20220 -12.5542 < 2.2e-16 ***
## D2 23.25292 8.99630 2.5847 0.009746 **
## DD -14.84443 9.66638 -1.5357 0.124618
## HOD 0.92127 0.36896 2.4970 0.012527 *
## DOW -1.69238 1.28696 -1.3150 0.188502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-17/blue/content change"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-17 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-17/blue/content change sregdate:2016-11-10 eregdate:2016-11-24"
## [1] "2016-11-17"
## [1] 146 460
## [1] "scutidx:146" "scutidx:460"
## dt HOD DOW
## Min. :2016-11-10 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-11-14 05:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-17 11:30:00 Median :11.50 Median :4.000
## Mean :2016-11-17 06:44:19 Mean :11.48 Mean :4.089
## 3rd Qu.:2016-11-20 18:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-24 00:00:00 Max. :23.00 Max. :7.000
## series log_calls D1 idx
## Length:628 Min. : 2.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:157.8
## Mode :character Median : 95.0 Median :0.5 Median :314.5
## Mean :113.3 Mean :0.5 Mean :314.5
## 3rd Qu.:159.2 3rd Qu.:1.0 3rd Qu.:471.2
## Max. :357.0 Max. :1.0 Max. :628.0
## D2 DD
## Min. :0.000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000
## Median :1.000 Median :0.0000
## Mean :0.535 Mean :0.2675
## 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 154.37268 11.65985 13.2397 < 2e-16 ***
## D1 -87.38356 7.54738 -11.5780 < 2e-16 ***
## D2 4.54325 9.52807 0.4768 0.63348
## DD 5.63356 10.31587 0.5461 0.58499
## HOD 0.99803 0.40538 2.4620 0.01382 *
## DOW -3.13255 1.47222 -2.1278 0.03336 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-11/purple/0-10%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-11 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-11/purple/0-10% sregdate:2016-10-04 eregdate:2016-10-18"
## [1] "2016-10-11"
## [1] 159 486
## [1] "scutidx:159" "scutidx:486"
## dt HOD DOW
## Min. :2016-10-04 00:00:00 Min. : 0.00 Min. :1.00
## 1st Qu.:2016-10-07 13:15:00 1st Qu.: 5.00 1st Qu.:2.00
## Median :2016-10-11 05:00:00 Median :11.00 Median :4.00
## Mean :2016-10-11 02:04:35 Mean :11.40 Mean :3.96
## 3rd Qu.:2016-10-14 14:45:00 3rd Qu.:17.75 3rd Qu.:6.00
## Max. :2016-10-18 00:00:00 Max. :23.00 Max. :7.00
## series rate_calls D1 idx
## Length:654 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 53.0 1st Qu.:0.0 1st Qu.:164.2
## Mode :character Median : 96.0 Median :0.5 Median :327.5
## Mean :113.9 Mean :0.5 Mean :327.5
## 3rd Qu.:161.5 3rd Qu.:1.0 3rd Qu.:490.8
## Max. :360.0 Max. :1.0 Max. :654.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :1.0000 Median :0.0000
## Mean :0.5138 Mean :0.2569
## 3rd Qu.:1.0000 3rd Qu.:1.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 139.60676 10.11861 13.7970 < 2.2e-16 ***
## D1 -86.52830 7.08887 -12.2062 < 2.2e-16 ***
## D2 -11.41221 8.95529 -1.2744 0.2025
## DD -1.09075 9.76352 -0.1117 0.9110
## HOD 1.67823 0.38572 4.3509 1.356e-05 ***
## DOW 1.16068 1.22876 0.9446 0.3449
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-10-18/purple/10-30%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-10-18 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-10-18/purple/10-30% sregdate:2016-10-11 eregdate:2016-10-25"
## [1] "2016-10-18"
## [1] 169 504
## [1] "scutidx:169" "scutidx:504"
## dt HOD DOW
## Min. :2016-10-11 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-14 11:15:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-10-17 23:00:00 Median :11.00 Median :4.000
## Mean :2016-10-17 23:26:30 Mean :11.41 Mean :3.985
## 3rd Qu.:2016-10-21 10:45:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-10-25 00:00:00 Max. :23.00 Max. :7.000
## series rate_calls D1 idx
## Length:670 Min. : 4.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:168.2
## Mode :character Median : 89.0 Median :0.5 Median :335.5
## Mean :107.5 Mean :0.5 Mean :335.5
## 3rd Qu.:147.8 3rd Qu.:1.0 3rd Qu.:502.8
## Max. :347.0 Max. :1.0 Max. :670.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4955 Mean :0.2478
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 137.70514 9.93706 13.8577 < 2.2e-16 ***
## D1 -87.86982 6.70177 -13.1114 < 2.2e-16 ***
## D2 -8.98603 8.58288 -1.0470 0.295113
## DD 13.05055 9.38516 1.3906 0.164362
## HOD 1.43734 0.37727 3.8099 0.000139 ***
## DOW -0.37349 1.23853 -0.3016 0.762990
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-01/purple/30-50%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-01 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-01/purple/30-50% sregdate:2016-10-25 eregdate:2016-11-08"
## [1] "2016-11-01"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-10-25 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-10-28 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-01 00:00:00 Median :11.00 Median :4.000
## Mean :2016-11-01 00:00:00 Mean :11.47 Mean :3.997
## 3rd Qu.:2016-11-04 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-08 00:00:00 Max. :23.00 Max. :7.000
## series rate_calls D1 idx
## Length:674 Min. : 1.00 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 49.25 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 87.00 Median :0.5 Median :337.5
## Mean :106.29 Mean :0.5 Mean :337.5
## 3rd Qu.:142.75 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :377.00 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 106.22977 9.59590 11.0703 < 2.2e-16 ***
## D1 -69.14793 5.78555 -11.9518 < 2.2e-16 ***
## D2 22.05545 8.71218 2.5316 0.01136 *
## DD -12.60207 9.47202 -1.3305 0.18337
## HOD 1.86075 0.37783 4.9248 8.446e-07 ***
## DOW 1.36179 1.26709 1.0747 0.28249
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-12-15/purple/50-90%"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-12-15 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-12-15/purple/50-90% sregdate:2016-12-08 eregdate:2016-12-22"
## [1] "2016-12-15"
## [1] 169 506
## [1] "scutidx:169" "scutidx:506"
## dt HOD DOW
## Min. :2016-12-08 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-12-11 12:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-12-15 00:00:00 Median :11.00 Median :4.000
## Mean :2016-12-15 00:00:00 Mean :11.47 Mean :4.003
## 3rd Qu.:2016-12-18 12:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-12-22 00:00:00 Max. :23.00 Max. :7.000
## series rate_calls D1 idx
## Length:674 Min. : 8.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 50.0 1st Qu.:0.0 1st Qu.:169.2
## Mode :character Median : 86.0 Median :0.5 Median :337.5
## Mean :108.7 Mean :0.5 Mean :337.5
## 3rd Qu.:156.0 3rd Qu.:1.0 3rd Qu.:505.8
## Max. :378.0 Max. :1.0 Max. :674.0
## D2 DD
## Min. :0.0000 Min. :0.0000
## 1st Qu.:0.0000 1st Qu.:0.0000
## Median :0.0000 Median :0.0000
## Mean :0.4985 Mean :0.2493
## 3rd Qu.:1.0000 3rd Qu.:0.0000
## Max. :1.0000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 135.95178 9.44451 14.3948 < 2.2e-16 ***
## D1 -77.86391 6.20220 -12.5542 < 2.2e-16 ***
## D2 23.25292 8.99630 2.5847 0.009746 **
## DD -14.84443 9.66638 -1.5357 0.124618
## HOD 0.92127 0.36896 2.4970 0.012527 *
## DOW -1.69238 1.28696 -1.3150 0.188502
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
## [1] "xtkchib"
## [1] "xabchib"
## [1] "2016-11-17/blue/content change"
## [1] "2016-06-01 01:00:00 UTC"
## [1] "2017-01-31 23:00:00 UTC"
## [1] 7
## [1] 7
## [1] "2016-11-17 UTC"
## [1] "POSIXct" "POSIXt"
## [1] "getregdf2 - sdate:2016-11-17/blue/content change sregdate:2016-11-10 eregdate:2016-11-24"
## [1] "2016-11-17"
## [1] 146 460
## [1] "scutidx:146" "scutidx:460"
## dt HOD DOW
## Min. :2016-11-10 00:00:00 Min. : 0.00 Min. :1.000
## 1st Qu.:2016-11-14 05:00:00 1st Qu.: 5.00 1st Qu.:2.000
## Median :2016-11-17 11:30:00 Median :11.50 Median :4.000
## Mean :2016-11-17 06:44:19 Mean :11.48 Mean :4.089
## 3rd Qu.:2016-11-20 18:00:00 3rd Qu.:17.00 3rd Qu.:6.000
## Max. :2016-11-24 00:00:00 Max. :23.00 Max. :7.000
## series rate_calls D1 idx
## Length:628 Min. : 2.0 Min. :0.0 Min. : 1.0
## Class :character 1st Qu.: 51.0 1st Qu.:0.0 1st Qu.:157.8
## Mode :character Median : 95.0 Median :0.5 Median :314.5
## Mean :113.3 Mean :0.5 Mean :314.5
## 3rd Qu.:159.2 3rd Qu.:1.0 3rd Qu.:471.2
## Max. :357.0 Max. :1.0 Max. :628.0
## D2 DD
## Min. :0.000 Min. :0.0000
## 1st Qu.:0.000 1st Qu.:0.0000
## Median :1.000 Median :0.0000
## Mean :0.535 Mean :0.2675
## 3rd Qu.:1.000 3rd Qu.:1.0000
## Max. :1.000 Max. :1.0000
##
## z test of coefficients:
##
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) 154.37268 11.65985 13.2397 < 2e-16 ***
## D1 -87.38356 7.54738 -11.5780 < 2e-16 ***
## D2 4.54325 9.52807 0.4768 0.63348
## DD 5.63356 10.31587 0.5461 0.58499
## HOD 0.99803 0.40538 2.4620 0.01382 *
## DOW -3.13255 1.47222 -2.1278 0.03336 *
## ---
## Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1
| idx | title | model | formula | chgDate | chgVal | chgCoef.fit | chgCoef.smry | chgStd.smry | chgZval.cfit | chgPval.cfit | s |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Xbox - Hourly Chats | model-did | chats ~ D1 + D2 + DD + HOD + DOW | 2016-10-11 | 0_10 | -1.090746 | -1.090746 | 9.756309 | -0.1117165 | 0.9110482 | | |
| 2 | Xbox - Hourly Chats | model-did | chats ~ D1 + D2 + DD + HOD + DOW | 2016-10-18 | 10_30 | 13.050545 | 13.050545 | 9.387582 | 1.3905507 | 0.1643617 | | |
| 3 | Xbox - Hourly Chats | model-did | chats ~ D1 + D2 + DD + HOD + DOW | 2016-11-01 | 30_50 | -12.602071 | -12.602071 | 9.464968 | -1.3304520 | 0.1833694 | | |
| 4 | Xbox - Hourly Chats | model-did | chats ~ D1 + D2 + DD + HOD + DOW | 2016-12-15 | 50_90 | -14.844428 | -14.844428 | 9.661394 | -1.5356765 | 0.1246177 | | |
| 5 | Xbox - Hourly Chats | model-did | chats ~ D1 + D2 + DD + HOD + DOW | 2016-11-17 | content change | 5.633562 | 5.633562 | 10.315511 | 0.5461062 | 0.5849929 | | |
| 6 | Xbox - log(Hourly Chats) | model-did | log_chatss ~ D1 + D2 + DD + HOD + DOW | 2016-10-11 | 0_10 | -1.090746 | -1.090746 | 9.756309 | -0.1117165 | 0.9110482 | | |
| 7 | Xbox - log(Hourly Chats) | model-did | log_chatss ~ D1 + D2 + DD + HOD + DOW | 2016-10-18 | 10_30 | 13.050545 | 13.050545 | 9.387582 | 1.3905507 | 0.1643617 | | |
| 8 | Xbox - log(Hourly Chats) | model-did | log_chatss ~ D1 + D2 + DD + HOD + DOW | 2016-11-01 | 30_50 | -12.602071 | -12.602071 | 9.464968 | -1.3304520 | 0.1833694 | | |
| 9 | Xbox - log(Hourly Chats) | model-did | log_chatss ~ D1 + D2 + DD + HOD + DOW | 2016-12-15 | 50_90 | -14.844428 | -14.844428 | 9.661394 | -1.5356765 | 0.1246177 | | |
| 10 | Xbox - log(Hourly Chats) | model-did | log_chatss ~ D1 + D2 + DD + HOD + DOW | 2016-11-17 | content change | 5.633562 | 5.633562 | 10.315511 | 0.5461062 | 0.5849929 | | |
| 11 | Xbox - Hourly Chat Rate per Session | model-did | rate_chats ~ D1 + D2 + DD + HOD + DOW | 2016-10-11 | 0_10 | -1.090746 | -1.090746 | 9.756309 | -0.1117165 | 0.9110482 | | |
| 12 | Xbox - Hourly Chat Rate per Session | model-did | rate_chats ~ D1 + D2 + DD + HOD + DOW | 2016-10-18 | 10_30 | 13.050545 | 13.050545 | 9.387582 | 1.3905507 | 0.1643617 | | |
| 13 | Xbox - Hourly Chat Rate per Session | model-did | rate_chats ~ D1 + D2 + DD + HOD + DOW | 2016-11-01 | 30_50 | -12.602071 | -12.602071 | 9.464968 | -1.3304520 | 0.1833694 | | |
| 14 | Xbox - Hourly Chat Rate per Session | model-did | rate_chats ~ D1 + D2 + DD + HOD + DOW | 2016-12-15 | 50_90 | -14.844428 | -14.844428 | 9.661394 | -1.5356765 | 0.1246177 | | |
| 15 | Xbox - Hourly Chat Rate per Session | model-did | rate_chats ~ D1 + D2 + DD + HOD + DOW | 2016-11-17 | content change | 5.633562 | 5.633562 | 10.315511 | 0.5461062 | 0.5849929 | | |
| 16 | Xbox - Hourly Chats | model-did | calls ~ D1 + D2 + DD + HOD + DOW | 2016-10-11 | 0_10 | -1.090746 | -1.090746 | 9.756309 | -0.1117165 | 0.9110482 | | |
| 17 | Xbox - Hourly Chats | model-did | calls ~ D1 + D2 + DD + HOD + DOW | 2016-10-18 | 10_30 | 13.050545 | 13.050545 | 9.387582 | 1.3905507 | 0.1643617 | | |
| 18 | Xbox - Hourly Chats | model-did | calls ~ D1 + D2 + DD + HOD + DOW | 2016-11-01 | 30_50 | -12.602071 | -12.602071 | 9.464968 | -1.3304520 | 0.1833694 | | |
| 19 | Xbox - Hourly Chats | model-did | calls ~ D1 + D2 + DD + HOD + DOW | 2016-12-15 | 50_90 | -14.844428 | -14.844428 | 9.661394 | -1.5356765 | 0.1246177 | | |
| 20 | Xbox - Hourly Chats | model-did | calls ~ D1 + D2 + DD + HOD + DOW | 2016-11-17 | content change | 5.633562 | 5.633562 | 10.315511 | 0.5461062 | 0.5849929 | | |
| 21 | Xbox - log(Hourly Chats) | model-did | log_calls ~ D1 + D2 + DD + HOD + DOW | 2016-10-11 | 0_10 | -1.090746 | -1.090746 | 9.756309 | -0.1117165 | 0.9110482 | | |
| 22 | Xbox - log(Hourly Chats) | model-did | log_calls ~ D1 + D2 + DD + HOD + DOW | 2016-10-18 | 10_30 | 13.050545 | 13.050545 | 9.387582 | 1.3905507 | 0.1643617 | | |
| 23 | Xbox - log(Hourly Chats) | model-did | log_calls ~ D1 + D2 + DD + HOD + DOW | 2016-11-01 | 30_50 | -12.602071 | -12.602071 | 9.464968 | -1.3304520 | 0.1833694 | | |
| 24 | Xbox - log(Hourly Chats) | model-did | log_calls ~ D1 + D2 + DD + HOD + DOW | 2016-12-15 | 50_90 | -14.844428 | -14.844428 | 9.661394 | -1.5356765 | 0.1246177 | | |
| 25 | Xbox - log(Hourly Chats) | model-did | log_calls ~ D1 + D2 + DD + HOD + DOW | 2016-11-17 | content change | 5.633562 | 5.633562 | 10.315511 | 0.5461062 | 0.5849929 | | |
| 26 | Xbox - Hourly Chat Rate per Session | model-did | rate_calls ~ D1 + D2 + DD + HOD + DOW | 2016-10-11 | 0_10 | -1.090746 | -1.090746 | 9.756309 | -0.1117165 | 0.9110482 | | |
| 27 | Xbox - Hourly Chat Rate per Session | model-did | rate_calls ~ D1 + D2 + DD + HOD + DOW | 2016-10-18 | 10_30 | 13.050545 | 13.050545 | 9.387582 | 1.3905507 | 0.1643617 | | |
| 28 | Xbox - Hourly Chat Rate per Session | model-did | rate_calls ~ D1 + D2 + DD + HOD + DOW | 2016-11-01 | 30_50 | -12.602071 | -12.602071 | 9.464968 | -1.3304520 | 0.1833694 | | |
| 29 | Xbox - Hourly Chat Rate per Session | model-did | rate_calls ~ D1 + D2 + DD + HOD + DOW | 2016-12-15 | 50_90 | -14.844428 | -14.844428 | 9.661394 | -1.5356765 | 0.1246177 | | |
| 30 | Xbox - Hourly Chat Rate per Session | model-did | rate_calls ~ D1 + D2 + DD + HOD + DOW | 2016-11-17 | content change | 5.633562 | 5.633562 | 10.315511 | 0.5461062 | 0.5849929 | | |
## [1] "Version 0.1 created on 29 Apr 2017 - 16:49:39 took 49.4 secs"